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Big Data Testing Jobs (NOW HIRING)

Lorven Technologies

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on ...

ACI Infotech

Big Data Engineer

$57 - $75.50/hr

... testing activities. • At least 4-7+ years of industry experience in Big Data Domain Education: • MS/BS minimum in the areas of Computer Science, Computer engineering, or other related fields or ...

TriOptus LLC

Big Data Engineer

Houston, TX · On-site

$53.25 - $70.50/hr

Software Engineer (Big Data) Duration: 3-6 Months CTH Location: Houston/Plano , TX This is a W2 ... testing, deployment, maintenance and improvement of software. Anthony Kay

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

... building, testing, and optimizing 'Big Data' data ingestion pipelines, architectures, and data sets * 2+ years of experience with Python (and/or Scala) and PySpark/Scala-Spark * 3+ years of ...

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and ... Perform unit and system-level testing of applications. * Develop reusable loosely-coupled software ...

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How much do big data testing jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for big data testing in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is Big Data Testing?

Big Data Testing is the process of verifying and validating the quality, accuracy, and reliability of large and complex data sets and the systems that process them. It involves testing data ingestion, processing, storage, and retrieval to ensure that big data applications function as expected. This type of testing also checks for data integrity, performance, and scalability issues in big data environments such as Hadoop, Spark, or NoSQL databases. The goal is to ensure that data-driven applications deliver correct and meaningful insights.

What is the difference between Big Data Testing vs Data Analyst?

AspectBig Data TestingData Analyst
Required SkillsData validation, scripting, understanding of big data toolsData interpretation, SQL, visualization skills
Work EnvironmentTesting environments, big data platforms like Hadoop, SparkData analysis platforms, BI tools, databases
CertificationsBig Data certifications, ISTQB, testing-focused credentialsData analysis certifications, SQL, Tableau
Industry UsageQuality assurance in big data projectsBusiness insights, reporting, decision-making

Big Data Testing focuses on validating data quality, performance, and integrity within big data systems, requiring testing skills and knowledge of big data tools. Data Analysts interpret and visualize data to support business decisions, emphasizing analytical skills and data visualization. While both roles work with large datasets, Big Data Testing ensures system reliability, whereas Data Analysts focus on deriving insights from data.

What are some common challenges faced by professionals in Big Data Testing, and how can they be addressed?

One common challenge in Big Data Testing is ensuring data quality and accuracy when dealing with vast, complex datasets that often span multiple sources and formats. Testers must also handle performance and scalability issues, as big data platforms process information at high volumes and speeds. Collaborating closely with data engineers and developers is essential to understand data flows and system architecture. To address these challenges, testers often use automation tools, develop robust test strategies, and continually update their skills to keep pace with evolving big data technologies.

What are the key skills and qualifications needed to thrive as a Big Data Tester, and why are they important?

To thrive as a Big Data Tester, you need a solid understanding of data analytics, software testing methodologies, and a background in computer science or information technology. Familiarity with big data tools such as Hadoop, Spark, Hive, SQL, as well as automation frameworks and scripting languages like Python or Java, is typically required. Attention to detail, analytical thinking, and strong problem-solving abilities are crucial soft skills for identifying data issues and ensuring data quality. These skills are essential to validate large-scale data systems effectively, ensuring reliability, accuracy, and performance in data-driven projects.
More about Big Data Testing jobs
What states have the most Big Data Testing jobs? States with the most job openings for Big Data Testing jobs include:
What job categories do people searching Big Data Testing jobs look for? The top searched job categories for Big Data Testing jobs are:
Big Data Testing jobs near you
Infographic showing various Big Data Testing job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Big Data Engineer

Big Data Engineer

Lorven Technologies

Costa Mesa, CA • On-site

$59.75 - $79/hr

Full-time

Posted 19 days ago

Job description

Big Data Engineer
Costa Mesa , CA or PHX or Bay Area
Contract
Job Responsibilities
10+ years of experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on AWS Cloud using java/scala/kotlin, Cassandra, , Python, Hadoop, HDFS, Spark, MapReduce framework Good Scala, Pyspark, Java coding experience for REST API and SOAP webservices Good AWS experience (Batch and API microservices) using EMR/EC2/ECS/S3/Airflow/Step Functions, AWS API Gateway Good Batch Application performance tuning (Spark/Hadoop/EMR, Java, python) Must have Linux experience (Shell scripting/Python)
Required Qualifications
Experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on AWS Cloud using java/scala/kotlin, Cassandra, , Python, Hadoop, HDFS, Spark, MapReduce framework Good Scala, Pyspark, Java coding experience for REST API and SOAP webservices Good AWS experience (Batch and API microservices) using EMR/EC2/ECS/S3/Airflow/Step Functions, AWS API Gateway Good Batch Application performance tuning (Spark/Hadoop/EMR, Java, python) Must have Linux experience (Shell scripting/Python)
Preferred Qualifications
Additionally: Good to have DevOps experience (GIT, GitHub, Bit Bucket, GitLab, IntelliJ IDEA, PyCharm) Good to have experience creating CI/CD pipelines - Maven, Gradle, Jenkins, Artifactory, AWSCodeCommit Cloudformation
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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